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Jason Abrevaya, Chair 2225 Speedway, Stop C3100, Austin, TX 78712 • Admin: 512-471-3211 & Advising: 512-471-2973

Sukjin Han

Assistant Professor Ph.D., Yale University

Sukjin Han

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Biography

Sukjin Han received his Ph.D. at Yale University after completing his undergraduate studies in economics at Seoul National University in Korea, the country he was born and raised. Sukjin also spent several years in Europe and two years serving in the Korean Army.  As an econometrician, Sukjin has been interested in identifying various nonlinear econometric models, and also in analyzing the situation where such models are only weakly identified. He is also interested in applied microeconomic questions such as measuring gains from educational programs, that is, the effect of treatments, where interesting policy implications can be invoked. Sukjin is a curious devotee of arts and science in general, and of the integration of the two different branches of knowledge.

Sukjin's job market paper develops conditions under which a widely-used nonparametric simultaneous equations model can be identified and studies a situation where the model is only weakly identified. This situation can be seen as a nonparametric generalization of a weak instrument problem. The paper proposes an estimation method that alleviates the effect of weak instruments.

Other recent works focus on identification and weak identification of a simultaneous probit model, namely a bivariate probit model. One of the works provides conditions for identification of a bivariate probit model with or without an exclusion restriction of instruments. Another work studies the problem of weak identification, typically of weak instruments, in the same model and provides an inferential method that is robust to an arbitrary strength of instruments.

ECO 341K • Introduction To Econometrics

34810 • Spring 2014
Meets TTH 1100am-1230pm CLA 0.126
show description

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

34370 • Spring 2013
Meets TTH 1100am-1230pm CLA 0.126
show description

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

34375 • Spring 2013
Meets TTH 200pm-330pm CLA 0.126
show description

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

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